Data Governance Lead

at  Starr Companies

Starr Insurance Companies is a leading insurance and investment organization, providing commercial property and casualty insurance, including travel and accident coverage, to almost every imaginable business and industry in virtually every part of the world.
Cornelius Vander Starr established his first insurance company in Shanghai, China in 1919. Today, we are one of the world’s fastest growing insurance organizations, capable of writing in 128 countries on 6 continents.

Roles and Responsibilities

• Working closely with the Head of Data Architecture to consistently maintain and promote the Digital & Data strategy and roadmap, ensuring that is fit for purpose and changes are clearly communicated to stakeholders.
• Establish and govern an enterprise data governance implementation roadmap including strategic priorities for development of information-based capabilities.
• Ability to manage change initiatives and direct the work of required departmental data stewards
• Working closely with the DPO to implement an enterprise wide data governance framework, with a focus on improvement of data quality and the protection of sensitive data through modifications to organisation behaviour policies and standards, principles, governance metrics, processes, related tools and data architecture.
• Define roles and responsibilities related to data governance to ensure clear accountability for stewardship of the company’s principal information assets.
• Act as a conduit between Business and Functional areas and technology to ensure that data related business requirements for protecting sensitive data are clearly defined, communicated and well understood as part of operational planning and prioritisation.
• Develop and maintain inventory of the enterprise data flows, critical data elements, data dictionaries, owners, responsibilities including authoritative systems.
• Facilitate the development and implementation of data quality standards, data consistency standards, data protection standards and adoption requirements across the enterprise
• Define indicators of performance and quality metrics and ensure compliance with data related policies, standards, roles and responsibilities, and adoption standards.
• Leading projects comprising resources from the Business and Functional areas and IT business and operational functions, to achieve their objectives; resolve issues escalated from Business and Functional area data governance representatives.

Experience

• Strong experience as working in Data Governance / Quality domain
• Exposure experience as working in Data Governance / Quality domain
• Experience of working in the London Insurance market and possess high knowledge of key departments including Underwriting, Claims, Reinsurance, Actuarial and Finance functions.
• Experience of developing Data Quality reporting process and supporting MI, knowledge of the key types of metrics and reporting KPI’s needed to build out measurement and reporting.
• Strong understanding of data management principles and data flow process and practices. Knowledge of (DAMA DMBOK) would be desirable.
• Knowledge of of data governance practices, business and technology issues related to management of enterprise information assets and approaches related to data protection.
• Knowledge of data related government regulatory requirements and emerging trends and issues.
• Demonstrated consulting skills, with change management concepts and strategies, including communication, culture change and performance measurement system design.
• Knowledge of Data Governance and Data Quality Tools and a recognised subject matter expert to influence the way things are undertaken.

Starr is an equal opportunity employer, which means we’ll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and we’re committed to creating an inclusive environment for all employees. We offer first class training and development opportunities to all employees. Our aim is to grow our own talent and bring out the best in people.

• Working closely with the Head of Data Architecture to consistently maintain and promote the Digital & Data strategy and roadmap, ensuring that is fit for purpose and changes are clearly communicated to stakeholders.
• Establish and govern an enterprise data governance implementation roadmap including strategic priorities for development of information-based capabilities.
• Ability to manage change initiatives and direct the work of required departmental data stewards
• Working closely with the DPO to implement an enterprise wide data governance framework, with a focus on improvement of data quality and the protection of sensitive data through modifications to organisation behaviour policies and standards, principles, governance metrics, processes, related tools and data architecture.
• Define roles and responsibilities related to data governance to ensure clear accountability for stewardship of the company’s principal information assets.
• Act as a conduit between Business and Functional areas and technology to ensure that data related business requirements for protecting sensitive data are clearly defined, communicated and well understood as part of operational planning and prioritisation.
• Develop and maintain inventory of the enterprise data flows, critical data elements, data dictionaries, owners, responsibilities including authoritative systems.
• Facilitate the development and implementation of data quality standards, data consistency standards, data protection standards and adoption requirements across the enterprise
• Define indicators of performance and quality metrics and ensure compliance with data related policies, standards, roles and responsibilities, and adoption standards.
• Leading projects comprising resources from the Business and Functional areas and IT business and operational functions, to achieve their objectives; resolve issues escalated from Business and Functional area data governance representatives